Duke Health researchers found the current medical standards for assessing stroke risk perform worse for Black patients than white patients. The study, published Jan. 24 in JAMA, evaluated existing ...
Please provide your email address to receive an email when new articles are posted on . Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for ...
Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...
Often when we see the terms ''algorithms" and "artificial intelligence" they are framed in negative or alarming light. It’s the social media algorithms, we’re told, that keep us perpetually engaged — ...
Google and Mayo Clinic researchers partner to develop new artificial intelligence (AI) algorithms to treat people with psychiatric illness and direct brain injuries, such as stroke. Google and Mayo ...
An algorithm developed by faculty at The University of Texas Health Science Center at Houston (UTHealth) can help physicians outside of major stroke treatment centers assess whether a patient ...
When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...
A new predictive tool in the form of a risk algorithm--dubbed QStroke--can help to identify and treat patients at risk of having a stroke, according to research recently published in BMJ. The ...
Researchers have developed a novel computer algorithm that can predict various diseases like diabetes or stroke, just by analysing the colour of the human tongue with 98 per cent accuracy. The imaging ...
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NYU Tandon researchers unveil new algorithm to dramatically speed up stroke detection scans
By rethinking the mathematical models that power CT scanners and similar technologies, researchers were able to shorten the length of time needed for microwave image reconstructions from nearly an ...
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